US 11,869,637 B2
Systems and methods for analyzing captured biometric data
Jeremy Garavaglia, Mesa, AZ (US); John Larson, Normal, IL (US); Jovonni Lee Pharr, Mableton, GA (US); Kip Wilson, Cave Creek, AZ (US); Nolan White, Chandler, AZ (US); Achyutha Srinivas Mudunuri, Gilbert, AZ (US); Wallace Taylor, Tempe, AZ (US); and Mike Aviles, Bloomington, IL (US)
Assigned to State Farm Mutual Automobile Insurance Company, Bloomington, IL (US)
Filed by State Farm Mutual Automobile Insurance Company, Bloomington, IL (US)
Filed on Jan. 24, 2023, as Appl. No. 18/158,965.
Application 18/158,965 is a continuation of application No. 16/950,590, filed on Nov. 17, 2020, granted, now 11,587,648.
Application 16/950,590 is a continuation of application No. 15/697,095, filed on Sep. 6, 2017, granted, now 10,878,062, issued on Dec. 29, 2020.
Prior Publication US 2023/0170063 A1, Jun. 1, 2023
Int. Cl. G06Q 40/08 (2012.01); G16H 10/40 (2018.01); G06V 40/70 (2022.01); G16H 40/60 (2018.01)
CPC G16H 10/40 (2018.01) [G06Q 40/08 (2013.01); G06V 40/70 (2022.01); G16H 40/60 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A computer system comprising:
at least one memory with instructions stored thereon; and
at least one processor in communication with the at least one memory, wherein the instructions, when executed by the at least one processor, cause the at least one processor to:
store a policy associated with a user in the at least one memory, wherein the policy comprises a term and is associated with user data indicating a likelihood that the user will maintain a level of health for the term;
receive updated user data associated with the user from a smart network in communication with at least one electronic device associated with the user;
determine a health score associated with the user based on the updated user data, wherein the health score is associated with an updated likelihood that the user will maintain the level of health for a period of time corresponding to the term of the policy; and
update at least one parameter of the policy based on the updated likelihood that the user will maintain the level of health for the period of time corresponding to the term of the policy.